SGI User Group Conference
Please join the SGI User Group in San Jose, CA from April 29th – May 1st
for the 11th annual SGI User Conference
Each year, the conference brings together computer scientists, data center managers, researchers and engineers with an interest in improving the productivity of SGI high performance computing and storage systems.
In addition to SGI executives, product and engineering presentations, this year's program features:
- Keynote Presentation
James Reinders, Chief Evangelist, Intel Tools and Parallel Programming, Intel
- Early experiences with OpenGL and processing offload in distributed and shared-memory SGI systems
Ryan Quick, eBay/PayPal
- HPC Service in a Research Environment - Tricks of the trade
Simon Burbidge, Imperial College, London
- Experiences with (the new) SGI VizServer
Gabe Turner, 3M
- A SGI UV Tutorial on Virtualization
Hosts: S. Ryan Quick, eBay/PayPal and Gabe Turner, 3M
With this year's conference located minutes from SGI's new office in Milplitas, CA, you're invited to combine your attendance at the conference, with a visit to the SGI office.
Additionally, if you're interested in participating in this year's conference with a presentation, please contact Liz Cox.
Big Data Week – Malaysia
NEXUS @ Bangsar South, Kuala Lumpur Weds 7th May 2014
SGI in conjunction with MDeC and MIMOS are hosting an event:
"Creating More Headroom for your Big Data".
The one day event will include strategic presentations as well as workshops focusing on storage solutions for big data. This opportunity allows you to participate in the World Wide Big Data Week.
Please register now as places are limited.
Making HPC and Big Data More Accessible
SGI UV targets performance and scalability since 2009
In this recent video, SGI addresses how this inclusive HPC and big data computing environment can help meet the needs of the larger scientist and analyst user population. It's a platform that's innovative yet stays within standards, according to Dr. Eng Lim Goh, CTO of SGI.
The SGI UV platform currently scales up from 4 to 256 Intel Xeon sockets and 64 TB of memory running on a single off-the-shelf Linux OS. With the NUMAlink interconnect, SGI UV 2000 enables scaling a single system starting as small as 8 threads up to a maximum of 4,096 threads.
"What's most important about this server is it runs standard Linux," observes Goh. To test the compatibility of Linux, Goh purchased an off-the-shelf NVIDIA card. He loaded VNC on a server remotely and and called it up from his laptop. To further test the compatibility, he loaded LibreOffice and the R statistical package, and plugged in the RGL renderer. He demonstrates the output visualization.
Goh also wanted to show how data analysts could access this extreme scale system from their mobile devices. To do this the SGI engineers took an iPad and installed the iTeleport software from the official App Store to run VNC. Then you simply select the server you want to visualize and the same thing that is on the 256-socket server will be displayed on the laptop and on the mobile device, says Goh.
To further test the limits of mobility for the coming era of wearable devices, Goh's team beamed the display onto the Google Glass, allowing users to visualize their outputs while moving about.
Take your research to a new level.
Tackle the big problems.
Visit SGI at Bio-IT World, Booth #344
Concerned with how to support the pace and scale of your genomics research? Don't be – talk to SGI at Bio-IT World about our solutions for genomics workflows in the smallest lab environments to the largest datacenters. It's easy to start small and grow to keep pace with your research needs.
SGI has been the trusted leader in research computing for decades, providing computing and storage solutions tailored for the individual researcher while also building some of the largest computational infrastructures in existence.
The growth in computational and data challenges in the life sciences is unlike any other research discipline, but even faster and larger challenges lie ahead. Don't let your IT infrastructure constrain and limit your research capabilities – build solutions that enable your research and scale easily to solve the biggest problems. Big Thinkers trust SGI.
Join us at Bio-IT World, where SGI will sponsor a pre-conference workshop with the BioTeam, showcasing SGI UV server technologies, entitled Running a Local Galaxy Instance. Additionally SGI will also host a luncheon talk in the Cloud Computing Track entitled "Bringing the Big-Brain Computer to the Cloud: SGI UV for Cloud-Based Genomics Workflows".
|From SGI® UV™ to the Google Glass®
The SGI® UV™ is a more inclusive high performance computing and Big Data platform that's innovative yet stays within standards. It currently scales up from 4 to 256 Intel® Xeon® sockets and 64 TB of memory running on a single off-the-shelf Linux® OS. See the SGI UV demonstrated by Dr. Eng Lim Goh, CTO of SGI.
|Big Data at the Speed of Thought
SGI UV gives you the opportunity to broaden your view into massive amounts of data. Real-time, second by second analysis, you can take your data and process it at the speed of thought.
3M, SGI and Intel Showcase Advanced Cooling Technology for the "Data Center of the Future"
3M demonstrates two-phase immersion cooling technology to reduce water consumption and energy use, while increasing supercomputer efficiency
As the growth of the Internet of Things spikes so does the growth of data traffic in the cloud, which requires data centers to deliver more performance and storage with less energy consumption. 3M announced the implementation of a fully functional supercomputer developed in collaboration with Intel and SGI that uses a revolutionary two-phase immersion cooling technology pioneered by 3M.
In this proof-of-concept, SGI® ICE™ X, the fifth generation of the world's fastest distributed memory supercomputer and the Intel® Xeon® processor E5-2600 hardware are placed directly into 3M™ Novec™ Engineered Fluid. The 3M Novec fluid is an efficient dielectric that keeps the hardware cooled with minimum additional energy, maximum performance and better reliability. 3M's two-phase immersion cooling technology can reduce cooling energy costs by 95 percent and reduces water consumption by eliminating municipal water usage for evaporative cooling. Heat can also be harvested from the system and reused for heating and other process technologies such as desalination of sea water.
Highlights & Events
SGI EMEA User Group Meeting
Held in London, University College March 31st - April 1st 2014
University College London very kindly hosted an SGI EMEA User Group meeting with 40 EMEA users in attendance. Many of the members gave presentations on their use of the range of SGI systems they have in their environments which was beneficial to all. The ability to meet other users and share experiences hold true value as well as the opportunity to network with SGI executives and product management.
Presentations included Insights from Using and Managing the World's Fastest Commercial Supercomputer by Diego Klahr of Total, Managing Heterogenous HPC User Requirements by Simon Burbidge of Imperial College and How NTNU recycle heat waste from Einar Naess Jenson of NTNU.
If anyone is interested in becoming part of the EMEA User Group please contact Simon Burbidge.
with NICE Desktop Cloud Visualization™ (DCV) software
At Nvidia's GPU Technology conference last month, SGI showcased SGI VizServer system with NICE Desktop Cloud Visualization™ (DCV) software, a commercially supported hardware and software solution that delivers efficient and optimized remote access to graphic-intensive, off-the-shelf 3D applications running on both Windows® and Linux® desktop environments.
With the explosive growth of computer derived models, more technical computing data needs to be move from the data center to the engineers' or researchers' workstations. Leveraging the Cloud offers a solution to many of the challenges of enabling access and collaboration with remote 3D visualization applications.
To learn more about SGI VizServer, download our white paper, and find out how to reduce infrastructure costs and increase your IT team's agility by leveraging Cloud computing technologies.